Face Recognition Based on Wavelet Neural Network

Abstract:

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It's well known that the technology of human face recognition has become a hot topicin pattern recognition field. Though a lot of progress has been made by many researchersthese years, many key problems still have to be solved in order to popularize the application of face recognition because of the complexity of face recognition. The background, development and main methods of face recognition are introducedfirstly in this paper, then a face recognition method which is based on wavelet transform,KL transform and BP neural networks is used in the paper.Here the face feature extraction includes wavelet transform and KL transform.Moreover,the recognition classifier is BP neural networks.The simulation testing in the paper holds good recognition rate.

Info:

Periodical:

Advanced Materials Research (Volumes 204-210)

Edited by:

Helen Zhang, Gang Shen and David Jin

Pages:

216-219

DOI:

10.4028/www.scientific.net/AMR.204-210.216

Citation:

H. Zhang "Face Recognition Based on Wavelet Neural Network", Advanced Materials Research, Vols. 204-210, pp. 216-219, 2011

Online since:

February 2011

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Price:

$35.00

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